{"id":"W2167799472","doi":"10.1051/cmlf/2010247","title":"CARNAVAL : une base de données de régimes généralisés","year":2010,"lang":"fr","type":"article","venue":"2ème Congrès Mondial de Linguistique Française","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197242,0.000772028,0.0008937865,0.0003680379,0.001317351,0.001380412,0.0008139231,0.0007603962,0.005573718],"category_scores_gemma":[0.004891946,0.0008526304,0.0007662932,0.0002219967,0.00153959,0.0001928177,0.000187508,0.001678228,0.0003805501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108302,"about_ca_system_score_gemma":0.00162921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1833033,"about_ca_topic_score_gemma":0.081071,"domain_scores_codex":[0.9957631,0.000301884,0.0009175506,0.0008034206,0.0004831287,0.001730939],"domain_scores_gemma":[0.9958595,0.0005222309,0.0004034954,0.0008865604,0.001256594,0.001071629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001752997,0.0006786014,0.0184682,0.0003218459,0.0005345678,0.002201679,0.04504345,0.0002458067,0.001855794,0.9072115,0.02147258,0.001790599],"study_design_scores_gemma":[0.001355534,0.0001665335,0.001436993,0.0003121113,0.001433293,0.00006081282,0.001492402,0.009983428,0.001586249,0.03429041,0.9466859,0.001196304],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7235063,0.02020777,0.0005648352,0.01267837,0.01552835,0.0006267887,0.001990269,0.0004213204,0.224476],"genre_scores_gemma":[0.923979,0.0009827571,0.002222073,0.001104876,0.0361011,0.00006522075,0.0001719525,0.0001737282,0.03519925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9252133,"threshold_uncertainty_score":0.9999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02083344813607714,"score_gpt":0.2846877029914963,"score_spread":0.2638542548554192,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}